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. 2023 Feb 16;23(4):2214.
doi: 10.3390/s23042214.

A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring

Ashwini Kanakapura Sriranga  1 , Qian Lu  1 , Stewart Birrell  1
Affiliations

A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring

Ashwini Kanakapura Sriranga et al. Sensors (Basel). .

Abstract

The concept of vehicle automation ceases to seem futuristic with the current advancement of the automotive industry. With the introduction of conditional automated vehicles, drivers are no longer expected to focus only on driving activities but are still required to stay alert to resume control. However, fluctuations in driving demands are known to alter the driver's mental workload (MWL), which might affect the driver's vehicle take-over capabilities. Driver mental workload can be specified as the driver's capacity for information processing for task performance. This paper summarizes the literature that relates to analysing driver mental workload through various in-vehicle physiological sensors focusing on cardiovascular and respiratory measures. The review highlights the type of study, hardware, method of analysis, test variable, and results of studies that have used physiological indices for MWL analysis in the automotive context.

Keywords: HR; HRV; conditional automation; mental workload; respiration.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
An illustration of SAE levels of automation.
Figure 2
Figure 2
Flowchart of the selection process for the systematic review.
Figure 3
Figure 3
QRS complex of an ECG curve.
See this image and copyright information in PMC

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